Data Literacy Specialization
Master fundamental statistical concepts and develop critical skills for interpreting data-driven research and analysis in this comprehensive program.
Master fundamental statistical concepts and develop critical skills for interpreting data-driven research and analysis in this comprehensive program.
This specialization from Johns Hopkins University equips professionals with essential skills for interpreting statistical results and making data-driven decisions. Through five courses, students learn descriptive statistics, data visualization, measurement techniques, regression modeling, and probability concepts. The program emphasizes practical application and critical evaluation of quantitative research, culminating in a capstone project where learners analyze published research. Perfect for professionals seeking to enhance their data interpretation abilities, no prior statistics background required.
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What you'll learn
Interpret descriptive statistics and causal analyses
Develop and evaluate quantitative measures
Create and interpret regression models
Calculate and understand probability in statistics
Evaluate published quantitative research
Design effective data visualizations
Skills you'll gain
This course includes:
48 Hours PreRecorded video
Capstone Project
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FullTime access
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There are 5 courses in this program
Data – What It Is, What We Can Do With It
Course 1 · 11 Hours to complete · 4 modules
Measurement – Turning Concepts into Data
Course 2 · 11 Hours to complete · 4 modules
Quantifying Relationships with Regression Models
Course 3 · 11 Hours to complete · 4 modules
Probability and Uncertainty in Statistics
Course 4 · 10 Hours to complete · 4 modules
Data Literacy Capstone – Evaluating Research
Course 5 · 5 Hours to complete · 3 modules
Fee Structure
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